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Diagnosing and treating chronic musculoskeletal pain based on the underlying mechanism(s)

Overview of attention for article published in Best Practice & Research Clinical Rheumatology, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 813)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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1 news outlet
twitter
69 X users
facebook
2 Facebook pages

Citations

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128 Dimensions

Readers on

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303 Mendeley
Title
Diagnosing and treating chronic musculoskeletal pain based on the underlying mechanism(s)
Published in
Best Practice & Research Clinical Rheumatology, May 2015
DOI 10.1016/j.berh.2015.04.024
Pubmed ID
Authors

Daniel J. Clauw

Abstract

Until recently, most clinicians considered chronic pain to be typically due to ongoing peripheral nociceptive input (i.e., damage or inflammation) in the region of the body where the individual is experiencing pain. Clinicians are generally aware of a few types of pain (e.g., headache and phantom limb pain) where chronic pain is not due to such causes, but most do not realize there is not a single chronic pain state where any radiographic, surgical, or pathological description of peripheral nociceptive damage has been reproducibly shown to be related to the presence or severity of pain. The primary reason for this appears to be that both the peripheral and central nervous systems play a critical role in determining which nociceptive input being detected by sensory nerves in the peripheral tissues will lead to the perception of pain in humans. This manuscript reviews some of the latest findings regarding the neural processing of pain, with a special focus on how clinicians can use information gleaned from the history and physical examination to assess which mechanisms are most likely to be responsible for pain in a given individual, and tailors therapy appropriately. A critical construct is that, within any specific diagnostic category (e.g., fibromyalgia (FM), osteoarthritis (OA), and chronic low back pain (CLBP) are specifically reviewed), individual patients may have markedly different peripheral/nociceptive and neural contributions to their pain. Thus, just as low back pain has long been acknowledged to have multiple potential mechanisms, so also is this true of all chronic pain states, wherein some individuals will have pain primarily due to peripheral nociceptive input, whereas in others peripheral (e.g., peripheral sensitization) or central nervous system factors ("central sensitization" or "centralization" of pain via augmented pain processing in spinal and brain) may be playing an equally or even more prominent role in their pain and other symptoms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 69 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Germany 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Australia 1 <1%
Denmark 1 <1%
Unknown 296 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 65 21%
Researcher 28 9%
Student > Bachelor 28 9%
Other 26 9%
Student > Ph. D. Student 17 6%
Other 64 21%
Unknown 75 25%
Readers by discipline Count As %
Medicine and Dentistry 94 31%
Nursing and Health Professions 46 15%
Neuroscience 15 5%
Agricultural and Biological Sciences 12 4%
Psychology 10 3%
Other 37 12%
Unknown 89 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 May 2018.
All research outputs
#845,153
of 25,374,647 outputs
Outputs from Best Practice & Research Clinical Rheumatology
#24
of 813 outputs
Outputs of similar age
#9,944
of 281,543 outputs
Outputs of similar age from Best Practice & Research Clinical Rheumatology
#2
of 33 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 813 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 281,543 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.